Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Novel water flooding layer logging evaluation method applying three parameters self-consistent iterative algorithm

An iterative algorithm and three-parameter technology, applied in surveying, earthwork drilling and production, wellbore/well components, etc., can solve problems such as not considering the unity of qualitative identification and quantitative evaluation of water flooded layers, inconsistent dynamic changes, and contradictory conclusions

Active Publication Date: 2013-07-31
CHINA UNIV OF PETROLEUM (EAST CHINA)
View PDF4 Cites 30 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, the above methods have the following problems: 1) When determining the mixed formation water resistivity, it is assumed to be the mixing process of the original formation water and n times the volume of injected water, which is inconsistent with the dynamic change of the actual formation water salinity (actual The process is reinjection of produced sewage, which is quite different from the assumed situation), resulting in inaccurate relationship between the theoretically determined mixed formation water resistivity and water production rate; 2) In the iterative calculation process, the water-flooded layer is not considered The unification of qualitative identification and quantitative evaluation leads to the contradiction between the iteratively calculated water-flooded layer parameters and the qualitative identification conclusion of well logging

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Novel water flooding layer logging evaluation method applying three parameters self-consistent iterative algorithm
  • Novel water flooding layer logging evaluation method applying three parameters self-consistent iterative algorithm
  • Novel water flooding layer logging evaluation method applying three parameters self-consistent iterative algorithm

Examples

Experimental program
Comparison scheme
Effect test

example 1

[0021] Example 1: Layer Z of Well X in GD Oilfield

[0022] The implementation process is described in detail below:

[0023] 1) According to the core analysis data and well logging data, the shale content SH at a certain depth point in the layer is calculated as 18%, and the irreducible water saturation S wi is 20%, the porosity φ is 36%, and the permeability K is 1500mD.

[0024] 2) According to the standard for identifying water flooding level based on well logging ( figure 2 ), qualitatively and preliminarily identify the water flooding level of the reservoir, and preliminarily judge it as moderate water flooding. The standard of flooding level is: weak flooding: F2≥0.75*F1; medium flooding: 0.75*F1-1≤F2<0.75*F1; strong flooding: F2<0.75*F1-1.

[0025] 3) The initial value of moisture content is selected as f w1 =0.7 (weak flooding f w1 =0.3; middle water flooding f w1 =0.7; Strong flooding f w1 = 0.9).

[0026] 4) The relationship between resistivity and water co...

example 2

[0032] Example 2: Layer Z of Well Y in GD Oilfield

[0033] According to the core analysis data and logging data, the shale content SH at a certain depth point in this layer is calculated as 21%, and the irreducible water saturation S wi is 23%, the porosity φ is 34%, and the permeability K is 1380mD. The calculation process is the same as above, after batch processing of logging data, the interpretation results can be seen in Figure 6 .

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

PropertyMeasurementUnit
Permeabilityaaaaaaaaaa
Permeabilityaaaaaaaaaa
Login to View More

Abstract

The invention provides a novel water flooding layer logging evaluation method applying a three parameters self-consistent iterative algorithm. The method comprises the following steps: confirming the logging identifying standard of the water flooding levels according to the relationship of the known water flooding levels and the logging response, preliminarily distinguishing the water flooding level of the evaluation layer according to the standard, then valuing a water out flow rate according to the water flooding level, taking the water out flow rate, the water saturation and the mixture formation water resistivity as iterative variable, taking two statistics relationship of the water saturation and the water out flow rate, and the mixture formation water resistivity and the water out flow rate as iterative computation relations, taking the permissible deviation of the two front and back times of calculating water content as the iterative control conditions to carry out the iterative computation, and confirming the parameters of water content, mixture formation water resistivity and the water saturation of the target layer and the final water flooding level according to the final calculating result of the iterative computations.

Description

technical field [0001] The invention relates to a petroleum logging evaluation technology, which mainly uses a three-parameter self-consistent iterative algorithm of mixed formation water resistivity, water saturation and water production rate in a water-flooded layer to qualitatively identify the water-flooded level of the water-flooded layer and quantitatively evaluate the parameters of the water-flooded layer. technical background [0002] Logging evaluation of water flooded zone includes two parts: qualitative identification of water flooded level and quantitative evaluation of reservoir parameters. The classification of water flooding grades mainly uses two indicators, water cut and oil displacement efficiency, and water cut is the most commonly used. The core parameters of quantitative reservoir evaluation are water saturation and water cut, and the difficulty is to determine the saturation and mixed formation water resistivity of different water flooding levels. [0...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): E21B47/00E21B49/00
Inventor 韩学辉李峰弼
Owner CHINA UNIV OF PETROLEUM (EAST CHINA)
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com